Currently, using conventional techniques for checking and optimising the energy
consumption in cloud systems is unpractical, due to the massive computational resources …

Many parallel and distributed computing research results are obtained in simulation, using
simulators that mimic real-world executions on some target system. Each such simulator is …

This paper presents a robust method for real-time visual human body tracking. We perform a
hierarchical 3D reconstruction from multiple camera views as a basis for tracking. Blobs …

Increased processing power of MapReduce clusters generally enhances performance and
availability at the cost of substantial energy consumption that often incurs higher operational …

The emergence of Big Data in recent years has resulted in a growing need for efficient data
processing solutions. While infrastructures with sufficient compute power are available, the …

Modern science is heavily intertwined with the use of computing, with complex and large-
scale computational applications needing to be executed on parallel and distributed …

Increased processing power of MapReduce clusters generally enhances performance and
availability at the cost of substantial energy consumption that often incurs higher operational …

Researchers in parallel and distributed computing (PDC) often resort to simulation because
experiments conducted using a simulator can be for arbitrary experimental scenarios, are …

In a heterogeneous computing cluster, cluster objectives are conflicting to each other.
Selecting a right combination of machines is necessary to enhance cluster performance, and …

Fog/Edge computing infrastructures have as one of the most important challenges the
allocation of computational jobs with data-sets dependencies in an efficiently way. In this …